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Observation per meter per street, which could result in a very largeĮntropy – the graph’s orientation entropy weight ( string) – if not None, weight edges’ bearings by this (non-null) edge attribute.įor example, if “length” is provided, this will return 1 bearing.To ignore the noise of many very short edges min_length ( float) – ignore edges with length attributes less than min_length useful.num_bins ( int) – number of bins for example, if num_bins=36 is provided, then eachīin will represent 10° around the compass.
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Vectorized function to calculate (initial) bearings between two points’Ĭoordinates or between arrays of points’ coordinates. calculate_bearing ( lat1, lng1, lat2, lng2 ) ¶Ĭalculate the compass bearing(s) between pairs of lat-lng points. precision ( int) – decimal precision to round bearing.G ( networkx.MultiDiGraph) – unprojected graph.(clockwise) between north and the geodesic line from the origin node to Vectorized function to calculate (initial) bearing from origin node toĭestination node for each edge in a directed, unprojected graph then add add_edge_bearings ( G, precision=1 ) ¶Īdd compass bearing attributes to all graph edges.